Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
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8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
CVPR 2026
scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
AAAI 2026
SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection
WACV 2026
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
AAAI 2026
ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis
WACV 2026
SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition
EACL 2026
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
AAAI 2026
Score-Based Diffusion Priors for Adaptive Conformal Inference under Distribution Shift
UAI 2026
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
UAI 2026
Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation
EACL 2026
SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning
WACV 2026
Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP
WACV 2026
Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection
SemEval 2026
SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning
AAAI 2026
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
AAAI 2026
Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP
EACL 2026
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
AAAI 2026
Seeing Through Blur: Tackling Defocus in Spike-Based Imaging
CVPR 2026
See, Think, Learn: A Self-Taught Multimodal Reasoner
WACV 2026
SEFEL: A Simple Yet Effective Framework for Fast Event Linking
AAAI 2026
Segment Anything Across Shots: A Method and Benchmark
AAAI 2026
SegMo: Segment-aligned Text to 3D Human Motion Generation
WACV 2026
Selective Weak-to-Strong Generalization
AAAI 2026
Self-Concordant Perturbations for Linear Bandits
COLT 2026
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
AAAI 2026